Registration_ID | Name | University | Address | phone_number | file | 10002 | Alex | Oxford | [email protected] | testing | +1254789632 | abc.jpg | 10005 | john | Oxford | [email protected] | testing | +1254789632 | abcabc.jpg |
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The training dataset will be made available with the ground truth. The naming convention of the eye image will be as E(image).jpg, where E signify
eye image and signify class in number e.g. 001, 061,142, y signifies left = l or right = r eye, z is gaze angle i.e. l = left, r = right, s = straight or t=top and n is the number of the samples in that particular angle. The naming convention of the mask image will be as M(image).jpg, where M signifies
mask image and signify the same as for the eye images. The participants need to provide a Matlab script file (segmentation.m or segmentation.p) that can read the images from a directory and it writes the segmented mask in a particular directory.